Instructions to use AdapterHub/bert-base-uncased-pf-newsqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use AdapterHub/bert-base-uncased-pf-newsqa with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("bert-base-uncased") model.load_adapter("AdapterHub/bert-base-uncased-pf-newsqa", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_adapter.bin from AdapterHub/bert-base-uncased-pf-newsqa: direct link, hf CLI and curl.
- Browser
- Download file 3.59 MB
-
https://huggingface.co/AdapterHub/bert-base-uncased-pf-newsqa/resolve/main/pytorch_adapter.bin
- Command line
-
hf download hf://AdapterHub/bert-base-uncased-pf-newsqa/pytorch_adapter.bin
-
curl -L -o pytorch_adapter.bin https://huggingface.co/AdapterHub/bert-base-uncased-pf-newsqa/resolve/main/pytorch_adapter.bin
3.59 MB
- Xet hash:
- 2d48d548f4374eefc15071413852a18cac916414f880cf572a4ec5e92442db35
- Size of remote file:
- 3.59 MB
- SHA256:
- 0c53b081d8b72ace859bc46444282c64d25c0576f9b2f91ae3bbbd62443ce90e
路
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